Cardiometabolic Devices Accuracy Study
Performance and Usability Evaluation of Cardiometabolic Point-of-care Devices in a Target Use Setting
With the rise of cardiovascular diseases (CVD) and diabetes, the global disease burden is shifting towards non-communicable diseases (NCDs). An increasing number of low- and middle-income countries (LMICs) are currently experiencing the double burden of infectious and non-communicable diseases. In order to facilitate a patient-centred approach to healthcare, there is an urgent need to ensure that primary healthcare (PHC) facilities in LMICs are capable of addressing diagnosis and monitoring of non-communicable diseases at the point-of-care (POC). Important minimum parameters for PHC POC diagnosis and monitoring of cardiometabolic diseases are lipids/lipoproteins, glucose, glycated haemoglobin (HbA1c) and serum creatinine, to address cardiovascular disease, diabetes and chronic kidney disease.
While several technologies of multi-parameter POC devices capable of supporting diagnosis and monitoring of cardiometabolic diseases exist, their quantitative accuracy is often not well evaluated outside of the manufacturer's laboratories and published independent evaluations can be rare, particularly in the settings of intended use. These settings are PHC facilities in varying climatic environments and with staff without specialist laboratory training. Our study aims to evaluate the quantitative accuracy of 2 cardiometabolic POC devices in a setting of intended use and performed by the intended user. (Evaluating the quantitative measurements of glucose, HbA1c, total cholesterol and creatinine as measured in a healthcare setting with point-of-care multiparameter devices compared to a laboratory reference method).
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Independent performance evaluation of POC devices have shown that many devices, regardless of their intended use, do not perform as well as the manufacturers' claims may suggest. There are a variety of reasons for this, including difference in skills levels of personnel who were involved in generating the data for the manufacturer's claims and who actually perform the test in a clinic, limited evaluation of samples from different geographical locations and thus potential interfering substances or less controlled environmental conditions (e.g. dust, heat and humidity).
Independent performance evaluations to assess clinical accuracy, as well as system usability are important to drive adoption of any technology, and even more so, if the technology is intended to move testing outside of the traditional setting, i.e. away from the central laboratory to the point-of-care. Many devices appear ideally suited for certain settings, however when it comes to actual implementation, the users often discover that the device and workflow do not meet their needs. The choice of a suboptimal device means badly invested resources and may lead to inappropriate use, resulting in fewer reliable tests for patients in the absence of alternatives. Data from real-world evaluations in settings of the intended use can support decision makers to select the right device.
The setting for this study will be a primary healthcare facility and a health post in Nepal, where study participants attend the facility in the context of the "Early detection and management of Chronic Kidney Diseases, Hypertension, Diabetes and Cardiovascular disease in Community in Nepal (KHDC-Nepal) program", conducted by the University Hospital of Geneva and the BP Koirala Institute of Health Science in Nepal.
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Sunsari
-
Dharān Bāzār, Sunsari, Nepal, 56700
- B.P Koirala Institute of Health Sciences
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- 20 years or older (in line with KHDC eligibility age)
- Attending the Dhulabari PHC facility or Kakarvitta health post in the context of the KHDC program
- Haemoglobin levels ≥8 g/dL
- Able and willing to provide informed consent
Exclusion Criteria:
- Inability to provide sufficient capillary or venous whole blood sample for all tests
- Haemoglobin levels < 8g/dL
- Anyone attending the Dhulabari PHC facility or Kakarvitta health post for other reasons than the KHDC program
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Other: Diagnostic
Fingerstick collection and venous whole blood collection.
|
Fingerstick capillary blood will be collected according to each manufacturer's Instructions for use.
The fingerstick capillary blood samples will be used immediately on the point-of-care assays.
The venous blood will be collected in specific tubes for plasma (GLU), for whole blood (HbA1c) and for serum (CREP, CHOL).
Plasma will be separated by centrifugation at the PHC facility and health post and aliquots will be prepared.
Serum will be left to clot prior to centrifugation and serum aliquots will be prepared at the PHC facility and health post.
The samples will be stored until transfer to the BPKIHS reference lab.
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Correlation estimation of quantitative measurements of cardiometabolic blood parameters measured on a point-of-care device versus a laboratory reference method
Time Frame: 4 months
|
Estimates of correlation between quantitative measurements of blood glucose, HbA1c, total cholesterol and creatinine collected from capillary blood and tested with point-of-care multiparameter devices versus quantitative measurements of blood glucose, HbA1c, total cholesterol and creatinine collected from venous blood and tested with a laboratory reference method.
|
4 months
|
|
Limits of agreements estimation of quantitative measurements of cardiometabolic blood parameters measured on a point-of-care device versus a laboratory reference method
Time Frame: 4 months
|
Estimates of limits of agreement for quantitative measurements of blood glucose, HbA1c, total cholesterol and creatinine collected from capillary blood and tested with point-of-care multiparameter devices versus quantitative measurements of blood glucose, HbA1c, total cholesterol and creatinine collected from venous blood and tested with a laboratory reference method.
|
4 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Operational characteristics of study device Tascom
Time Frame: 4 months
|
Rate of invalid test results and error types for Tascom (POC device)
|
4 months
|
|
Operational characteristics of study device JanaCare
Time Frame: 4 months
|
Rate of invalid test results and error types for JanaCare(POC device)
|
4 months
|
|
Usability of study devices Tascom
Time Frame: 4 months
|
System usability score for Tascom (POC device) SUS Score (>80.3,
Grade A, Excellent) SUS Score (68-80.3,
Grade B, Good) SUS Score (68, Grade C, Okay) SUS Score (51-68, Grade D, Poor) SUS Score (<51, Grade F, Awful)
|
4 months
|
|
Usability of study devices JanaCare
Time Frame: 4 months
|
System usability score for JanaCare(POC device) SUS Score (>80.3,
Grade A, Excellent) SUS Score (68-80.3,
Grade B, Good) SUS Score (68, Grade C, Okay) SUS Score (51-68, Grade D, Poor) SUS Score (<51, Grade F, Awful)
|
4 months
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Sanjib Sharma, Prof.Dr, head of the B.P Koirala Institute of Health Sciences
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Pathologic Processes
- Metabolic Diseases
- Urologic Diseases
- Disease Attributes
- Renal Insufficiency
- Lipid Metabolism Disorders
- Dyslipidemias
- Chronic Disease
- Female Urogenital Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Urogenital Diseases
- Male Urogenital Diseases
- Kidney Diseases
- Renal Insufficiency, Chronic
- Hyperlipidemias
Other Study ID Numbers
Other Study ID Numbers
- NC001
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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